cobaltstrike-beacon-data
ML-Workspace
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| cobaltstrike-beacon-data | ML-Workspace | |
|---|---|---|
| 1 | 7 | |
| 115 | 3,324 | |
| 0.9% | 1.1% | |
| 2.6 | 2.7 | |
| about 2 years ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cobaltstrike-beacon-data
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Bulk Analysis of Cobalt Strike’s Beacon Configurations
Lots of great data in here as well dating back to 2018 and around ~120k configs. Happy Hunting! https://github.com/fox-it/cobaltstrike-beacon-data
ML-Workspace
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
Crypto-Currency-Trade-Finder - Jupyter Notebooks to Help Discover New Crypto Currency Trading Strategies
JupyterLab - JupyterLab computational environment.
C2IntelFeeds - Automatically created C2 Feeds
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
AMAYARA-Lab - The アマヤラ Lab project provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules.
keytotext - Keywords to Sentences
article_apply_test_in_jupyter_notebook - Article apply test in jupyter notebook
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
nwtraderaanalytics - nwtraderaanalytics is a Jupyter Notebook designed to enrich the exploration of the search results provided by Tradera.com (the swedish version of eBay) and to help you bidding to the best auctions.
Code-Server - VS Code in the browser
Passport-Index-Dataset - Dataset collected from the Passport Power Index containing information related to the visa requirements for different countries.
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)